Energy efficient base station controlled dynamic clustering protocol in wireless sensor networks

Padmanabhan, K. A.; Kamalakkannan, P.

doi:10.1109/icaccct.2012.6320739

Cited by 3 publications

(1 citation statement)

References 11 publications

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“…Networks" [7],"Multiple Sink Network design problem in large scale wireless sensor networks (MSNDP)" [8] and "Energy efficient Dynamic Clustering (EEDC)" [11].…”

Section: Other Protocols Include "A Regional Centralized Clustering Rmentioning

confidence: 99%

Clustering in Wireless Sensor Networks- A Survey

Kaur¹,

Mir²

2016

IJCNIS

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Abstract-Increased demand of Wireless Sensor Networks (WSN) in various applications has made it a hot research area. Several challenges imposed which include energy conservation, scalability, limited network resources etc. with energy conservation being the most important. Clustering improves the energy efficiency by making high power nodes as cluster heads (CHs) which reduces the chance of energy depletion of nodes. Scalability, fault tolerance, data aggregation, energy efficiency are some of the main objectives of clustering. This paper discusses various challenges associated with clustering and different methods or techniques developed to overcome these challenges. Various clustering approaches have been summarized and few prominent Quality of service (QoS) based clustering routing protocols for WSN have been identified. Comparison of these approaches and protocols is discussed based on some parameters.

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“…Networks" [7],"Multiple Sink Network design problem in large scale wireless sensor networks (MSNDP)" [8] and "Energy efficient Dynamic Clustering (EEDC)" [11].…”

Section: Other Protocols Include "A Regional Centralized Clustering Rmentioning

confidence: 99%

Clustering in Wireless Sensor Networks- A Survey

Kaur¹,

Mir²

2016

IJCNIS

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Analysis of Energy-Efficient Clustering Algorithms for Wireless Sensor Network (WSN)

Arun¹,

Rangasamy²

2019

Journal of Testing and Evaluation

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A Wireless Sensor Network (WSN) consists of a huge number of tiny, lesser-cost devices with higher sensing ranges, processing and transmitting abilities. Because the sensor nodes have restricted battery power, energy efficiency is a significant design problem. Clustering is a successful algorithm used to decrease energy usage and increase the lifetime of WSN. Clustering algorithms group similar nodes in independent clusters. Every cluster has at least one Cluster Head (CH). Nodes send packet information to particular CHs. CHs send information to the Base Station. The characteristics of the energy heterogeneity of WSNs must be measured when developing clustering protocols. The major objective of this article is to study a modern survey on several clustering protocols or algorithms reported in the literature on WSNs. The review article also presents a detailed survey of several clustering algorithms for solving energy efficiency problems in WSNs and also presents the issues and advantages of various clustering algorithms in WSNs. The traditional clustering algorithms are simulated broadly, and the results are compared with the existing algorithms to demonstrate their results in terms of network life, energy usage, and Packet Delivery Ratio.

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Taxonomy of Cluster-Based Target Tracking System in Wireless Sensor Networks

Odeh

2021

SWCC

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Objective: In the last decade, with the advancement of big data technology and the internet of things, Wireless Sensor Networks (WSN) become fundamental for the success of a different range of applications especially those demanding massive data processing. Methods: This paper investigates several tracking methods to introduce a novel cluster-based target tracking analysis model. Results: Some crucial factors of the cluster-based routing protocols are demonstrated, and a comparison among these different methods is conducted according to our taxonomy such as cluster formation, predicate/proactive, target speed, single or multi-object tracking, boundary problem, scalability, energy efficiency, and communication cost. This can help the community of researchers by providing clear information for further study. Conclusion: The proposed paper compares the differences and similarities between the available approaches across different categories in terms of the Cluster construction, Clustering method, Object Speed, Number of Objects, Boundary problem, and scalability. Finally, we can recognize some open issues that have so far gained little publicity or remain unexplored yet.

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Energy efficient base station controlled dynamic clustering protocol in wireless sensor networks

Cited by 3 publications

References 11 publications

Clustering in Wireless Sensor Networks- A Survey

Clustering in Wireless Sensor Networks- A Survey

Analysis of Energy-Efficient Clustering Algorithms for Wireless Sensor Network (WSN)

Taxonomy of Cluster-Based Target Tracking System in Wireless Sensor Networks

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